Article Per Year (5 Year)
p-Index From 2019 - 2024
1.116
P-Index
This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Engineering Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks
Rizka Hadelina
Universitas Andalas
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Medicine & Pharmacology Social Sciences Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Liquefaction Potential Map based on Coordinates in Padang City with Google Maps Integration - Liliwarti; - Satwarnirat; Alde Alanda; Rizka Hadelina
JOIV : International Journal on Informatics Visualization Vol 4, No 1 (2020)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1370.527 KB) | DOI: 10.30630/joiv.4.1.312

Abstract

Abstract— Padang City is prone to liquefaction phenomena due to earthquakes. These phenomena can cause various damages to structures, infrastructures, and even can also cause deaths. Therefore, as one of the urban populated cities, the information about liquefaction potential is needed. One of them is by providing a liquefaction potential map, which is useful for mitigation and seismic disaster risks strategies. This article aims to provide a digital map of liquefaction potential in Padang City that integrates with Google Maps. The map is based on 40 coordinates in 7 subdistricts in the city with 3 colored markers that represent the levels of potential liquefaction i.e. no liquefaction level, moderate liquefaction level, and severe liquefaction level. The levels are classified based on the analysis of the secondary Cone Penetration Test data by using the calculation of the Factor of Safety and Liquefaction Potential Index with an earthquake assumption of 8 SR. The result shows that the map has ben able to display information about liquefaction potential, where 32.05% coordinates are classified as no liquefaction level with the highest percentage are in Kuranji, 22.5% are classified as moderate liquefaction level with the highest percentage are in Padang Utara, and 45.0% are classified as severe liquefaction level with the highest percentage are in Koto Tangah.
Recognition of sign language hand gestures using leap motion sensor based on threshold and ANN models Muhammad Ilhamdi Rusydi; Syafii Syafii; Rizka Hadelina; Elmiyasna Kimin; Agung W. Setiawan; Andrivo Rusydi
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.536 KB) | DOI: 10.11591/eei.v9i2.1194

Abstract

Hand gesture recognition is a topic that is still investigated by many scientists for numerous useful aspects. This research investigated hand gestures for sign language number zero to nine. The hand gesture recognition was based on finger direction patterns. The finger directions were detected by a Leap Motion Controller. Finger direction pattern modeling was based on two methods: threshold and artificial neural network. Threshold model 1 contained 15 rules based on the range of finger directions on each axis. Threshold model 2 was developed from model 1 based on the behavior of finger movements when the subject performed hand gestures. The ANN model of the system was designed with four neurons at the output layer, 15 neurons at the input layer, seven neurons at the first hidden layer and 5 neurons at the second hidden layer. The artificial neural network used the logsig as the activation function. The result shows that the first threshold model has the lowest accuracy because the rule is too complicated and rigid. The threshold model 2 can improve the threshold model, but it still needs development to reach better accuracy. The ANN model gave the best result among the developed model with 98% accuracy. LMC produces useful biometric data for hand gesture recognition.
Hand Gesture to Control Virtual Keyboard using Neural Network Arrya Anandika; Muhammad Ilhamdi Rusydi; Pepi Putri Utami; Rizka Hadelina; Minoru Sasaki
JITCE (Journal of Information Technology and Computer Engineering) Vol 7 No 01 (2023): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.40-48.2023

Abstract

Disability is one of a person's physical and mental conditions that can inhibit normal daily activities. One of the disabilities that can be found in disability is speech without fingers. Persons with disabilities have obstacles in communicating with people around both verbally and in writing. Communication tools to help people with disabilities without finger fingers continue to be developed, one of them is by creating a virtual keyboard using a Leap Motion sensor. The hand gestures are captured using the Leap Motion sensor so that the direction of the hand gesture in the form of pitch, yaw, and roll is obtained. The direction values are grouped into normal, right, left, up, down, and rotating gestures to control the virtual keyboard. The amount of data used for gesture recognition in this study was 5400 data consisting of 3780 training data and 1620 test data. The results of data testing conducted using the Artificial Neural Network method obtained an accuracy value of 98.82%. This study also performed a virtual keyboard performance test directly by typing 20 types of characters conducted by 15 respondents three times. The average time needed by respondents in typing is 5.45 seconds per character.
ANN Models for Shoulder Pain Detection based on Human Facial Expression Covered by Mask Rizka Hadelina; Muhammad Ilhamdi Rusydi; Mutia Firza; Oluwarotimi Williams Samuel
JITCE (Journal of Information Technology and Computer Engineering) Vol 7 No 01 (2023): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.49-55.2023

Abstract

Facial expressions are a method to communicate if someone feels pain. Moreover, coding facial movements to assess pain requires extensive training and is time-consuming for clinical practice. In addition, in Covid 19 pandemic, it was difficult to determine this expression due to the mask on the face. There for, it needs to develop a system that can detect the pain from facial expressions when a person is wearing a mask. There are 41 points used to form 19 geometrical features. It used 20.000 frames of 24 respondents from the dataset as secondary data . From these data, training, and testing were carried out using the ANN (Artificial Neural Network) method with a variation of the number of neurons in the hidden layer, i.e., 5, 10, 15, and 20 neurons. The results obtained from testing these data are the highest accuracy of 86% with the number of 20 hidden layers.
Continuous Integration and Continuous Deployment (CI/CD) for Web Applications on Cloud Infrastructures Alde Alanda; Hanriyawan Adnan Mooduto; Rizka Hadelina
JITCE (Journal of Information Technology and Computer Engineering) Vol 6 No 02 (2022): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.6.02.50-55.2022

Abstract

At this time, the application development process has experienced much development in terms of tools and the programming language used. The application development process is required to be carried out in a fast process using various existing tools. The application development and delivery process can be done quickly using Continuous Integration (CI) and Continuous Delivery (CD). This study uses the CI/CD technique to develop real-time applications using various programming languages implemented on a cloud infrastructure using the AWS codepipeline, which focuses on automatic deployment. Application source code is stored on different media using GitHub and Amazon S3. The source code will be tested for automatic deployment using the AWS code pipeline. The results of this study show that all programming languages can be appropriately deployed with an average time of 60 seconds
Sistem Wi-Fi Coin untuk Optimasi Akses Internet dan Bisnis di Desa Wisata Sanjai Bukittinggi Arrya Anandika; Rifki Suwandi; Rian Ferdian; Tati Erlina; Ratna Aisuwarya; Budi Rahmadya; Dodon Yendri; Rizka Hadelina; Nefy Puteri Novani; Desta Yolanda
Warta Pengabdian Andalas Vol 30 No 4 (2023)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jwa.30.4.822-836.2023

Abstract

The problem that occurs in Sanjai Tourism Village is inadequate internet access. Internet access is fundamental nowadays, both in daily activities and in the context of promotional activities for Tourism Villages to attract visitors. One of the aspects of assessing the Indonesian Tourism Village Award is digital creativity. To make this happen, it is necessary to have internet access that everyone can enjoy, including the community, visitors, and the Tourism Village group (Pokdarwis) in the Sanjai Tourism Village. Therefore, in Community Service activities, a Wi-Fi Coin system was designed to improve internet access in the Sanjai Tourism Village. The Wi-Fi Coin System uses coins to access the internet. In addition, the Wi-Fi Coin system can be portable for use in the desired location. The method used consists of three stages: preparation consisting of a survey and needs analysis to obtain data on community needs, especially the Sanjai Tourism Village Pokdarwis. The implementation consists of system design, testing, and implementation. System design and testing were carried out at the Unand Computer Engineering Department. Meanwhile, the implementation was done directly before the Pokdarwis team and the Village Community. Trials and equipment handover to the Sanjai Tourism Village Pokdarwis marked the activity results.
Co-Authors - Liliwarti Agung W. Setiawan Alde Alanda, Alde Andrivo Rusydi Arrya Anandika Arrya Anandika Budi Rahmadya Dodon Yendri Elmiyasna Kimin Hanriyawan Adnan Mooduto Minoru Sasaki Mutia Firza Nefy Puteri Novani Oluwarotimi Williams Samuel Pepi Putri Utami Ratna Aisuwarya Rifki Suwandi Rusydi, Muhammad Ilhamdi Satwarnirat Satwarnirat Syafii Syafii Tati Erlina Yolanda, Desta